Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NONGIVER vs Kazuya 143–120 54.37%
NONGIVER vs Bryan 86–92 48.31%
NONGIVER vs Dragunov 78–82 48.75%
NONGIVER vs King 85–70 54.84%
NONGIVER vs Jin 80–63 55.94%
NONGIVER vs Paul 75–56 57.25%
NONGIVER vs Heihachi 69–58 54.33%
NONGIVER vs Steve 61–45 57.55%
NONGIVER vs Yoshimitsu 44–53 45.36%
NONGIVER vs Reina 42–54 43.75%
NONGIVER vs Law 48–25 65.75%
NONGIVER vs Hwoarang 40–33 54.79%
NONGIVER vs Devil Jin 34–27 55.74%
NONGIVER vs Lee 33–28 54.10%
NONGIVER vs Feng 28–26 51.85%
NONGIVER vs Claudio 21–26 44.68%
NONGIVER vs Azucena 21–26 44.68%
NONGIVER vs Victor 16–30–1 34.78%
NONGIVER vs Nina 20–23 46.51%
NONGIVER vs Leo 20–21 48.78%
NONGIVER vs Alisa 22–16 57.89%
NONGIVER vs Lars 14–21 40.00%
NONGIVER vs Asuka 18–16 52.94%
NONGIVER vs Leroy 13–18 41.94%
NONGIVER vs Armor King 18–13 58.06%
NONGIVER vs Clive 14–16 46.67%
NONGIVER vs Anna 16–14 53.33%
NONGIVER vs Eddy 17–12 58.62%
NONGIVER vs Jun 11–17 39.29%
NONGIVER vs Xiaoyu 10–16 38.46%
NONGIVER vs Lili 20–6 76.92%
NONGIVER vs Raven 10–10 50.00%
NONGIVER vs Jack-8 9–9 50.00%
NONGIVER vs Lidia 11–7 61.11%
NONGIVER vs Fahkumram 7–10 41.18%
NONGIVER vs Shaheen 6–10 37.50%
NONGIVER vs Kuma 6–10 37.50%
NONGIVER vs Zafina 4–10 28.57%
NONGIVER vs Panda 3–2 60.00%
NONGIVER vs Miary Zo 2–2 50.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.